A study on food value estimation from images: Taxonomies, datasets, and techniques

J Sultana, BM Ahmed, MM Masud, AKO Huq… - IEEE …, 2023 - ieeexplore.ieee.org
Monitoring nutritional values in food can help an individual in planning a healthy diet. In
addition, regular dietary assessment can improve and maintain the physical and mental …

[HTML][HTML] Functional and technical aspects of self-management mHealth apps: systematic app search and literature review

L Alwakeel, K Lano - JMIR Human Factors, 2022 - humanfactors.jmir.org
Background Although the past decade has witnessed the development of many self-
management mobile health (mHealth) apps that enable users to monitor their health and …

An open-ended continual learning for food recognition using class incremental extreme learning machines

GA Tahir, CK Loo - IEEE Access, 2020 - ieeexplore.ieee.org
State-of-the-art deep learning models for food recognition do not allow data incremental
learning and often suffer from catastrophic interference problems during the class …

Explainable deep learning ensemble for food image analysis on edge devices

GA Tahir, CK Loo - Computers in Biology and Medicine, 2021 - Elsevier
Food recognition systems recently garnered much research attention in the relevant field
due to their ability to obtain objective measurements for dietary intake. This feature …

An optimized convolutional neural network with bottleneck and spatial pyramid pooling layers for classification of foods

EJ Heravi, HH Aghdam, D Puig - Pattern Recognition Letters, 2018 - Elsevier
Kee** record of daily meal intake is an effective solution for tackling with obesity and
overweight. This can be done by develo** apps on smartphones that are able to …

The effects of Industry 4.0 on the food and beverage industry

Y Demir, FI Dincer - Journal of Tourismology, 2020 - dergipark.org.tr
Production and technology are the two concepts which have a significant relationship with
each other. The food and beverage industry is a broad industry where raw materials, semi …

NutriTrack: Android-based food recognition app for nutrition awareness

AB Ocay, JM Fernandez… - 2017 3rd IEEE …, 2017 - ieeexplore.ieee.org
One of the emergent concerns of human life is about health and wellness. Undeniably,
health and nutrition are one of the valuable aspects of life. Thus, technological innovations …

An efficient image aesthetic analysis system using Hadoop

W Wang, W Zhao, C Cai, J Huang, X Xu, L Li - Signal Processing: Image …, 2015 - Elsevier
Assessing aesthetic appeal of images is a highly subjective task and has attracted a lot of
research interests recently. Prior researchers have developed several aesthetic analysis …

[HTML][HTML] Systematic Literature Review of Barriers and Enablers to Implementing Food Informatics Technologies: Unlocking Agri-Food Chain Innovation

WA Orjuela-Garzon, A Sandoval-Aldana… - Foods, 2024 - mdpi.com
Access to food products is becoming more and more complex due to population growth,
climate change, political and economic instability, disruptions in the global value chain, as …

Food image recognition for price calculation using convolutional neural network

MJ Nordin, OW **n, N Aziz - Proceedings of the 2019 3rd International …, 2019 - dl.acm.org
This project is attempting to solve the issue of unfair and inconsistent food price being
charged in economy rice or mixed rice that widely seen in the café of hawker stall in …